Evidence map›Paper›PMID 27815305›Full record

ReviewCold Spring Harbor perspectives in medicine2017

TP53 Mutations in Breast and Ovarian Cancer.

Laxmi Silwal-Pandit, Anita Langerød, Anne-Lise Børresen-Dale

Open access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

111 citing papers in PubMed, 1 synthesis or guideline pooled it, 164 citations in OpenAlex.

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  18. Precision clinical medicine · 2024
    Article
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  20. Immune pathway through endometriosis to ovarian cancer.World journal of clinical oncology · 2024
    Review

51 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Laxmi Silwal-PanditDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital The Norwegian Radium Hospital, Montebello, 0310 Oslo, Norway.
Anita LangerødDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital The Norwegian Radium Hospital, Montebello, 0310 Oslo, Norway.
Anne-Lise Børresen-DaleDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital The Norwegian Radium Hospital, Montebello, 0310 Oslo, Norway.
Oslo University Hospital · NONorwegian Cancer Society · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast and ovarian cancers are the second and fifth leading causes of cancer deaths among women. Both breast and ovarian cancers are highly heterogeneous and are presented with diverse morphology, natural history, and response to therapy. In recent years, international efforts have led to extensive molecular characterization of both breast and ovarian tumors and identified biologically and clinically relevant subtypes of the diseases based on these molecular features. The role of TP53 in tumor initiation and progression is context dependent, and abrogation of the TP53 pathway seems to be essential for the development of basal-like breast cancers and high-grade serous ovarian cancers. These subtypes of breast and ovarian cancer show several genomic similarities including high frequency of TP53 mutation, which seems to be an early, initiating, and driving alteration in these cancer subtypes.

Indexed as

MutationBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansOvarian NeoplasmsTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID27815305
PMCPMC5204332
OpenAlexW2546921687

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.